Tutorials

Sharing Tutorials

Here you can easily add Caffe2 tutorials. We want to encourage the community to add their own tutorials to help each other get started with Caffe2 quickly. If you are a contributor already you can edit this wiki to add links to your tutorials. If you're not a contributor yet, one of the easiest ways to contribute is to add a tutorial or clarify some part of the documentation.

To publish a tutorial on the first iteration of the Caffe2 website, you would have had to deploy a web based tutorial in markdown, in addition to the IPython one on Github, and edit some Jekyll code for the navigation. Now all you need to do is create a pull request with your new tutorial and once it has been pulled, come back to this wiki and add it to the table(s).

Tutorial Locations

A tutorials overview and an intro tutorial is available on the Caffe2 website.

Python Tutorials & Examples

Python tutorials are currently found in the /caffe2/python/tutorials/ folder.

Example scripts can be found in /caffe2/python/examples. You can find additional information about the examples usage for RNNs, training ResNet, and LMDB creation. Outside of this folder and in the main Python folder you will find test scripts that will help you implement certain Caffe2 features like the data parallel model.

C++ Tutorials

You can find a C++ starter tutorial on the Caffe2 website.

Also, kudos to @leonardvandriel who has translated the Caffe2 Python tutorials to C++ as well as ported over DeepDream to Caffe2.

Latest Tutorials

Name	Type
Basics	IPython
Toy Regression	IPython
Image Pre-Processing	IPython
Loading Pre-Trained Models	IPython
MNIST	IPython
MNIST Dataset & Databases	IPython
Multi-GPU Training (ImageNet example)	IPython
Create Your Own Dataset (Iris example)	IPython